Time-Series Bioinformatics Analysis of Sars-Cov-Infected Cells to Identify the Biological Processes Associated With Severe Acute Respiratory Syndrome Publisher Pubmed

Summary: Research shows COVID-19 alters gene expression, revealing immune response changes, aiding treatment insights. #COVID19 #ImmuneHealth

Fatehi R¹ ; Khosravian F^{2, 3} ; Salehi M^{2, 3} ; Kazemi M^{1, 4}
Source: Human Antibodies Published:2024

Abstract

BACKGROUND: The COVID-19 pandemic, caused by the new virus of the coronavirus family, SARS-CoV-2, could lead to acute respiratory syndrome. The molecular mechanisms related to this disorder are still debatable. METHODS: In this study to understand the pathogenicity mechanism of SARS-CoV-2, using the bioinformatics approaches, we investigated the expression of involved genes, their regulatory, and main signaling pathways during the time on days 1, 2, 3, and 4 of SARS-CoV infected cells. RESULTS: Here, our investigation shows the complex changes in gene expression on days 2 and 3 post-infection. The functional analysis showed that especially related to immune response, response to other organisms, and defense response. IL6-AS1 is the predicted long non-coding RNA and is a key regulator during infection. In this study, for the first time has been reported the role of IL6-AS1. Also, the correlation of differential expression genes with the level of immune infiltration was shown in the relationship of Natural killer cells and T cell CD 4+ with DE genes. CONCLUSION: In the current study, identification of the altered expression pattern of genes in SARS-CoV-infected cells in time course also can help identify and link the molecular mechanisms and explore the holistic view of infection of SARS-CoV-2. © 2024 IOS Press. All rights reserved.